Alignment Format for Semantic Translation

Sustainable Technology and Advanced Computing in Electrical Engineering (2022)

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摘要
Abundance of vastly heterogeneous, high-volume/high-velocity data producers/consumers, predominantly caused by proliferation of IoT-based solutions, results in an urgent need for efficient semantic interoperability solutions. Hence, the need to solve the problems of domain understanding, domain formal representation, and expression of mappings between different data models arise. In this contribution, we present an alignment format called IPSM-AF, for persisting correspondences between ontologies that can be used for semantic translation. Specifically, alignments represented using the IPSM-AF can be efficiently parsed and consumed by the IPSM tool, which performs the actual translation (possibly on streaming data). The proposed format is compliant with the Alignment API format, level 2.
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关键词
Semantic translation, Semantic stream processing, Ontology, Alignments, Internet of Things
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